Patents by Inventor Krishna Pattipati

Krishna Pattipati has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230106360
    Abstract: Systems and methods are disclosed for performing fault detection and prediction for power electronics and switching devices for power electronics, such as power inverters. Systems and methods disclosed herein can include determining, by a partial least squares model that evaluates values for one or more switching parameters for a switching device, the one or more switching parameters selected from a first set of switching parameters, a predicted value for the on-state current Ids of the switching device. The predicted value for the on-state current Ids can be based on the values of the one or more switching parameters for the switching device. Systems and methods disclosed herein can determine a residual comprising the difference between the predicted value for the another switching parameter of the switching device and an actual value of the predicted value for the another switching parameter, and generate a test statistic based on the residual.
    Type: Application
    Filed: October 1, 2021
    Publication date: April 6, 2023
    Inventors: KRISHNA PATTIPATI, MUHAMED K. FAROOQ, QIAN YANG, ALI BAZZI, SHAILESH N. JOSHI, HIROSHI UKEGAWA
  • Publication number: 20230104896
    Abstract: Systems, methods, computer-readable media, techniques, and methodologies are disclosed for performing fault detection and prediction for power electronics and switching devices for power electronics. Systems and methods can determine, using a machine learning model, a prediction for a value of a first switching parameter of a switching device, the prediction based on the present value of a second switching parameter of a switching device and a prior value of the first switching parameter. Systems and methods disclosed herein can further determine a residual comprising the difference between the prediction and an actual value of the switching parameter, generate a test statistic based on the residual, and compare the test statistic to a first threshold value. Systems and methods disclosed herein can determine the presence of a fault in the switching device based on a comparison of the test statistic to a threshold value.
    Type: Application
    Filed: October 1, 2021
    Publication date: April 6, 2023
    Inventors: KRISHNA PATTIPATI, MUHAMED K. FAROOQ, QIAN YANG, ALI BAZZI, SHAILESH N. JOSHI, HIROSHI UKEGAWA
  • Patent number: 11353861
    Abstract: A method, system, and non-transitory computer readable medium describing an autoencoder that creates a reduced feature space from healthy power electronics devices for training. Devices under test are then encoded and compared to the encoded features of the healthy devices to determine health of the other devices. Contextual information is used to build multiple models that compare power electronics devices from similarly operated vehicles with one another.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: June 7, 2022
    Assignees: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC., UNIVERSITY OF CONNECTICUT
    Inventors: Shailesh N. Joshi, Donald Mcmenemy, John Kaminski, Ravi Rajamani, Muhamed Farooq, Krishna Pattipati, Ali Bazzi
  • Patent number: 11340154
    Abstract: A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.
    Type: Grant
    Filed: September 16, 2020
    Date of Patent: May 24, 2022
    Assignee: THE UNIVERSITY OF CONNECTICUT
    Inventors: Nayeff A. Najjar, Shalabh Gupta, James Z. Hare, Gregory R. Leaper, Paul M. D'Orlando, Rhonda Walthall, Krishna Pattipati
  • Patent number: 11293981
    Abstract: Systems and methods of testing the health of vehicular power devices are disclosed herein. A method may include producing operating points as a function of cycling current (Ids) and voltage drain to source (Vds) when a subject device is conducting current. The method may further include determining a mean of moving distribution to adapt a center of the moving distribution contrasted with a plurality of known healthy devices. The method may also include indicating an imminent fault in the subject device based upon a discontinuity among operating points above a threshold.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: April 5, 2022
    Assignees: Toyota Motor Engineering & Manufacturing North America, Inc., University of Connecticut
    Inventors: Donald McMenemy, John Kaminski, Shailesh N. Joshi, Ali M. Bazzi, Krishna Pattipati
  • Patent number: 11169899
    Abstract: To predict a failure condition in a power module of a vehicle, it is determined whether a discontinuity in statistical data characterizing physical measurements of the power module meets a threshold criterion. Responsive to the discontinuity meeting the threshold criterion, a data offset in the physical measurements is computed at the discontinuity. A shift correction is applied to the physical measurements in accordance with the computed data offset responsive to a determination that the discontinuity is attributable to a restart of the power module. Other statistical data characterizing the shift-corrected physical measurements are computed and the statistical data and the other statistical data are provided to a machine learning processor that predicts the failure condition in the power module.
    Type: Grant
    Filed: April 15, 2019
    Date of Patent: November 9, 2021
    Assignees: Toyota Motor Engineering & Manufacturing North America, Inc., University of Connecticut
    Inventors: Ali M. Bazzi, Lingyi Zhang, Weiqiang Chen, Krishna Pattipati, Donald McMenemy, Shailesh Joshi
  • Publication number: 20210341911
    Abstract: A method, system, and non-transitory computer readable medium describing an autoencoder that creates a reduced feature space from healthy power electronics devices for training. Devices under test are then encoded and compared to the encoded features of the healthy devices to determine health of the other devices. Contextual information is used to build multiple models that compare power electronics devices from similarly operated vehicles with one another.
    Type: Application
    Filed: May 4, 2020
    Publication date: November 4, 2021
    Applicants: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC., UNIVERSITY OF CONNECTICUT
    Inventors: Shailesh N. JOSHI, Donald MCMENEMY, John KAMINSKI, Ravi RAJAMANI, Muhamed FAROOQ, Krishna PATTIPATI, Ali BAZZI
  • Publication number: 20210216876
    Abstract: Systems and methods of auto-encoder behavior modelling of vehicle components are described herein. A method for electronic device health prediction may include encoding input data into a reduced feature set via an auto-encoder as part of an artificial neural network. The method may further include decoding the reduced feature set. The method may also include reading the reduced feature set as output. The method may still further include encoding features of a subject device and other devices, wherein at least one of the other devices is designated as a healthy device. The method may additionally include associating the features of the other devices with a healthy device cluster based on a threshold distance. The method may also additionally include associating the features of the subject device with the healthy device cluster, wherein the subject device is flagged as faulty based upon exceeding the threshold distance from the healthy device cluster.
    Type: Application
    Filed: January 15, 2020
    Publication date: July 15, 2021
    Applicants: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC., UNIVERSITY OF CONNECTICUT
    Inventors: Donald McMenemy, John Kaminski, Shailesh N. Joshi, Ali M. Bazzi, Krishna Pattipati
  • Publication number: 20210215760
    Abstract: Systems and methods of testing the health of vehicular power devices are disclosed herein. A method may include producing operating points as a function of cycling current (Ids) and voltage drain to source (Vds) when a subject device is conducting current. The method may further include determining a mean of moving distribution to adapt a center of the moving distribution contrasted with a plurality of known healthy devices. The method may also include indicating an imminent fault in the subject device based upon a discontinuity among operating points above a threshold.
    Type: Application
    Filed: January 15, 2020
    Publication date: July 15, 2021
    Applicants: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC., UNIVERSITY OF CONNECTICUT
    Inventors: Donald McMenemy, John Kaminski, Shailesh N. Joshi, Ali M. Bazzi, Krishna Pattipati
  • Patent number: 10895523
    Abstract: A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.
    Type: Grant
    Filed: April 30, 2015
    Date of Patent: January 19, 2021
    Assignee: THE UNIVERSITY OF CONNECTICUT
    Inventors: Nayeff A. Najjar, Shalabh Gupta, James Z. Hare, Gregory R. Leaper, Paul M. D'Orlando, Rhonda Walthall, Krishna Pattipati
  • Publication number: 20200408669
    Abstract: A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.
    Type: Application
    Filed: September 16, 2020
    Publication date: December 31, 2020
    Inventors: Nayeff A. Najjar, Shalabh Gupta, James Z. Hare, Gregory R. Leaper, Paul M. D'Orlando, Rhonda Walthall, Krishna Pattipati
  • Publication number: 20200351504
    Abstract: Devices, computer-readable media, and methods for differential adaptive bitrate streaming based on scene complexity are disclosed. In one example, a method includes inferring, by a processor, a complexity of a scene contained in a first chunk of an adaptive bitrate streaming video, wherein the first chunk is a next chunk of the adaptive bitrate streaming video to be downloaded to an adaptive bitrate streaming video player, and wherein the complexity indicates a relative amount of spatial and temporal information contained in the scene, and selecting, by the processor, a first track from which to download the first chunk, wherein the first track is one of a plurality of tracks containing the first chunk, and wherein each track of the plurality of tracks encoded the first chunk at a different bitrate, and wherein a bitrate of the first track is proportional to the complexity of the scene as inferred.
    Type: Application
    Filed: May 3, 2019
    Publication date: November 5, 2020
    Inventors: Subhabrata Sen, Shuai Hao, Krishna Pattipati, Yanyuan Qin, Bing Wang
  • Patent number: 10827181
    Abstract: Devices, computer-readable media, and methods for differential adaptive bitrate streaming based on scene complexity are disclosed. In one example, a method includes inferring, by a processor, a complexity of a scene contained in a first chunk of an adaptive bitrate streaming video, wherein the first chunk is a next chunk of the adaptive bitrate streaming video to be downloaded to an adaptive bitrate streaming video player, and wherein the complexity indicates a relative amount of spatial and temporal information contained in the scene, and selecting, by the processor, a first track from which to download the first chunk, wherein the first track is one of a plurality of tracks containing the first chunk, and wherein each track of the plurality of tracks encoded the first chunk at a different bitrate, and wherein a bitrate of the first track is proportional to the complexity of the scene as inferred.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: November 3, 2020
    Assignees: AT&T INTELLECTUAL PROPERTY I, L.P., THE UNIVERSITY OF CONNECTICUT
    Inventors: Subhabrata Sen, Shuai Hao, Krishna Pattipati, Yanyuan Qin, Bing Wang
  • Publication number: 20200327033
    Abstract: To predict a failure condition in a power module of a vehicle, it is determined whether a discontinuity in statistical data characterizing physical measurements of the power module meets a threshold criterion. Responsive to the discontinuity meeting the threshold criterion, a data offset in the physical measurements is computed at the discontinuity. A shift correction is applied to the physical measurements in accordance with the computed data offset responsive to a determination that the discontinuity is attributable to a restart of the power module. Other statistical data characterizing the shift-corrected physical measurements are computed and the statistical data and the other statistical data are provided to a machine learning processor that predicts the failure condition in the power module.
    Type: Application
    Filed: April 15, 2019
    Publication date: October 15, 2020
    Applicants: Toyota Motor Engineering & Manufacturing North America, Inc., University of Connecticut
    Inventors: Ali M. BAZZI, Lingyi Zhang, Weiqiang Chen, Krishna Pattipati, Donald McMenemy, Shailesh Joshi
  • Patent number: 10664562
    Abstract: A method includes calculating a first estimated state of charge (SOC) of a battery at a first time, receiving a voltage value representing a measured voltage across the battery at a second time, calculating a filter gain at the second time, and calculating a second estimated SOC of the battery at the second time based on the first estimated SOC, the voltage value, and the filter gain. Another method includes storing, in a memory, a library of equivalent circuit models representing a battery, determining an operational mode of a battery based on a load associated with the battery, selecting one of the equivalent circuit models based on the determined operational mode, and calculating a state of charge of charge (SOC) of the battery using the selected equivalent circuit model.
    Type: Grant
    Filed: February 20, 2014
    Date of Patent: May 26, 2020
    Assignee: Fairchild Semiconductor Corporation and University of Connecticut
    Inventors: Balakumar Balasingam, Brian French, Yaakov Bar-Shalom, Bharath Pattipati, Krishna Pattipati, James Meacham, Travis Williams, Gopi Vinod Avvari, Tai-Sik Hwang
  • Publication number: 20140244193
    Abstract: A method includes calculating a first estimated state of charge (SOC) of a battery at a first time, receiving a voltage value representing a measured voltage across the battery at a second time, calculating a filter gain at the second time, and calculating a second estimated SOC of the battery at the second time based on the first estimated SOC, the voltage value, and the filter gain. Another method includes storing, in a memory, a library of equivalent circuit models representing a battery, determining an operational mode of a battery based on a load associated with the battery, selecting one of the equivalent circuit models based on the determined operational mode, and calculating a state of charge of charge (SOC) of the battery using the selected equivalent circuit model.
    Type: Application
    Filed: February 20, 2014
    Publication date: August 28, 2014
    Applicants: Fairchild Semiconductor Corporation, The University of Connecticut
    Inventors: Balakumar BALASINGAM, Brian FRENCH, Yaakov BAR-SHALOM, Bharath PATTIPATI, Krishna PATTIPATI, James MEACHAM, Travis WILLIAMS, Gopi Vinod AVVARI, Tai-Sik HWANG
  • Publication number: 20140244225
    Abstract: A method includes calculating a first estimated state of charge (SOC) of a battery at a first time, receiving a voltage value representing a measured voltage across the battery at a second time, calculating a filter gain at the second time, and calculating a second estimated SOC of the battery at the second time based on the first estimated SOC, the voltage value, and the filter gain. Another method includes storing, in a memory, a library of equivalent circuit models representing a battery, determining an operational mode of a battery based on a load associated with the battery, selecting one of the equivalent circuit models based on the determined operational mode, and calculating a state of charge of charge (SOC) of the battery using the selected equivalent circuit model.
    Type: Application
    Filed: February 20, 2014
    Publication date: August 28, 2014
    Applicants: The University of Connecticut, Fairchild Semiconductor Corporation
    Inventors: Balakumar BALASINGAM, Brian FRENCH, Yaakov BAR-SHALOM, Bharath PATTIPATI, Krishna PATTIPATI, James MEACHAM, Travis WILLIAMS, Gopi Vinod AVVARI, Tai-Sik HWANG
  • Publication number: 20100222897
    Abstract: A distributed diagnosis algorithm based on a multi-signal digraph model of an overall system is provided. In addition, a model enables the generation of a fault-test dependency matrix (D-matrix), which summarizes the detection capabilities of tests designed for faults associated with each node. Each row represents a fault state and each column represents a test.
    Type: Application
    Filed: March 2, 2009
    Publication date: September 2, 2010
    Applicants: Toyota Motor Engineering & Manufacturing North America, Inc., The University of Connecticut
    Inventors: Liu Qiao, Krishna Pattipati, Setu Madhavi Namburu, Danil V. Prokhorov